The EQ-5D-5L valuation study in Korea

Purpose This study aimed to estimate Korean preference weights for EQ-5D-5L based on values elicited from Korean population by applying the EuroQol Valuation Technology (EQ-VT) program and the standard protocol by the EuroQol Group. Methods The multistage quota sampling method was used to recruit 10...

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Vydáno v:Quality of life research Ročník 25; číslo 7; s. 1845 - 1852
Hlavní autoři: Kim, Seon-Ha, Ahn, Jeonghoon, Ock, Minsu, Shin, Sangjin, Park, Jooyeon, Luo, Nan, Jo, Min-Woo
Médium: Journal Article
Jazyk:angličtina
Vydáno: Cham Springer 01.07.2016
Springer International Publishing
Springer Nature B.V
Témata:
Activities of daily living
Adult
Choice Behavior
Constant coefficients
Evidence-based medicine
Experiments
Female
Goodness of fit
Health care
Health care economics
Health care industry
Health Status
Humans
INSTRUMENT DEVELOPMENT
Male
Medicine
Medicine & Public Health
Middle Aged
Missing persons
Model theory
Patient care
Preferences
Preventive medicine
Public Health
Quality assurance
Quality of life
Quality of Life - psychology
Quality of Life Research
Quantitative psychology
Republic of Korea
Social research
Sociology
Software
Surveys and Questionnaires
Valuation
Values
Young Adult
Social values
Utility
EQ-5D-5L
Composite time trade-off
Quality of life
Discrete choice experiment
ISSN:0962-9343, 1573-2649, 1573-2649
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Shrnutí:Purpose This study aimed to estimate Korean preference weights for EQ-5D-5L based on values elicited from Korean population by applying the EuroQol Valuation Technology (EQ-VT) program and the standard protocol by the EuroQol Group. Methods The multistage quota sampling method was used to recruit 1085 subjects from the general population in Korea. Each respondent valuated 10 health states using the composite time trade-off (cTTO) and 7 health states using discrete choice experiment. The EQ-VT program was developed by the EuroQol Group and translated into Korean with the Korean research team. Computer-assisted, face-to-face interviews were conducted. A range of predictive models were explored using cTTO. The most appropriate model was determined after assessing goodness of fit, logical consistency, and parsimony. Results Of 3206 contacted, 1085 subjects completed interviews (33.8 %) and 1080 were used for modeling. A model with dummy variables for each level of severity and dimension and a term that picked up whether any dimension in the state was at level 4 or 5 was selected as the best predictive model. All coefficients of the final model were statistically significant and logically consistent. In addition, it was parsimonious. This model had mean absolute error of 0.027, and the absolute error for all 86 health states was below 0.1. Conclusions The final model built in this study appears to predict the utilities of the states which were valuated directly. This model could be used to interpolate quality weights for all EQ-5D-5L health states.
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ISSN:0962-9343
1573-2649
1573-2649
DOI:10.1007/s11136-015-1205-2